Evidence map›Paper›PMID 34017401›Full record

ReviewAmerican journal of translational research2021

A meta-analysis of the correlation between non-steroidal anti-inflammatory drugs and recurrent colorectal adenomatous polyps.

Yuanyuan Zhang, Lisha Chen, Huixin Chen

Open access · greenAbstract readReview
In one paragraph

Review in American journal of translational research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.2field-weighted citation impact, top 46% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 5 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Yuanyuan ZhangDepartment of Gastroenterology, Huizhou Municipal Center Hospital Huizhou 516001, Guangdong Province, China.
Lisha ChenDepartment of Gastroenterology, Huizhou Municipal Center Hospital Huizhou 516001, Guangdong Province, China.
Huixin ChenDepartment of Gastroenterology, Huizhou Municipal Center Hospital Huizhou 516001, Guangdong Province, China.
Huizhou Central People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThe purpose of this study was to evaluate the effect of non-steroidal anti-inflammatory drugs (NSAIDs) on the recurrence risk of colorectal adenomas through a meta-analysis of published studies.

methodsA meta-analysis was performed to evaluate the effect of NSAIDs on the incidence rates of colorectal adenomatous polyps, using PubMed, Ovid, Elsevier, and other journal databases. Data were processed using Review Manager 5.3 and random errors were calculated using trial sequential analysis (TSA).

resultsA total of 8 studies published between 2003 and 2014 were selected. In the data collected, the patients on long-term usage of low-dose NSAIDs were shown to have significantly lower risk of colorectal adenoma compared with those on placebos (RR=0.80, 95% CI=0.70-0.92), with relatively low random errors. Long-term usage of low-dose NSAIDs was also found to have inhibitory effects on advanced adenomas (RR=0.66, 95% CI=0.44-0.99), but with relatively high random errors. Besides, high-dose NSAIDs were also shown to have inhibitory but inconsistent effects on adenomas and advanced adenomas (RR=0.66, 95% CI=0.59-0.72), and the withdrawal was associated with increased risks of the disease.

conclusionThese results suggest that low-dose NSAIDs have an inhibitory effect on recurrent adenomas, but the efficacy for late-stage adenomas remain inconclusive. The withdrawal of the drug might be associated with increased risks of the disease.

Indexed as

colorectal adenomatous polypsmeta-analysisNon-steroidal anti-inflammatory drugs

Identifiers

PMID34017401
PMCPMC8129323
OpenAlexW3160419971

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.